Noise (signal processing) In signal processing , noise is a general term for unwanted modifications that a signal may suffer during capture, storage, transmission, processing, or conversion. Sometimes the word is also used to mean signals that are random and carry no useful information; even if they are not interfering with other signals or may have been introduced intentionally, as in comfort noise .Noise reduction , the recovery of the original signal from the noise-corrupted one, is a very common goal in the design of signal processing systems, especially filters. The mathematical limits for noise removal are set by information theory , namely the Nyquist–Shannon sampling theorem .Types of noise Signal processing noise can be classified by its statistical properties and by how it modifies the intended signal: Additive noise , gets added to the unintended signal * White noise ** Additive white Gaussian noise * Black noise * Gaussian noise * Pink noise or flicker noise , with 1/f power spectrum * Brownian noise , with 1/f 2 power spectrum * Contaminated Gaussian noise , whose PDF is a linear mixture of Gaussian PDFs * Power-law noise * Cauchy noise Multiplicative noise , multiplies or modulates the intended signal Quantization error , due to conversion from continuous to discrete values Poisson noise , typical of signals that are rates of discrete events Shot noise , e.g. caused by static electricity discharge Transient noise , a short pulse followed by decaying oscillations Burst noise , powerful but only during short intervals Phase noise , random time shifts in a signalNoise in specific kinds of signals Noise may arise in signals of interest to various scientific and technical fields, often with specific features: Noise, such as "hiss" or "hum", in audio signals * Background noise , due to spurious sounds during signal capture * Comfort noise , added to voice communications to fill silent gaps * Electromagnetically induced noise , audible noise due to electromagnetic vibrations in systems involving electromagnetic fields Noise, such as "snow" Noise, such as "static", in radio transmissions Image noise , affects images, usually digital ones * Salt and pepper noise or spike noise, scattered very dark or very light pixels * Fixed pattern noise , that is tied to pixel sensors * Shadow noise , made visible by increasing brightness or contrast * Speckle noise , typical of radar imaging and interferograms * Film grain in analog photography * Compression artifacts or "mosquito noise" around edges in JPEG and other formats Noise in electrical signals * Johnson–Nyquist noise , in semiconductors * Quantum noise * Quantum 1/f noise , a disputed theory about quantum systems * Generation-recombination noise , in semiconductor devices * Oscillator phase noise , random fluctuations of the phase of an oscillator * Barkhausen effect or Barkhausen noise, in the strength of a ferromagnet * Spectral splatter or switch noise, caused by on/off transmitter switching * Ground noise , appearing at the ground terminal of audio equipment Synaptic noise , observed in neuroscience Neuronal noise , observed in neuroscience Transcriptional noise in the transcription of genes to proteins Cosmic noise , in radioastronomy Phonon noise in materials science Internet background noise , packets sent to unassigned or inactive IP addresses Fano noise , in particle detectors Mode partition noise in optical cables Seismic noise , spurious ground vibrations in seismology Cosmic microwave background , microwave noise left over from the Big Bang Measures of noise in signals A long list of noise measures have been defined to measure noise in signal processing: in absolute terms, relative to some standard noise level , or relative to the desired signal level. They include: Dynamic range , often defined by inherent noise level Signal-to-noise ratio , ratio of noise power to signal power * Peak signal-to-noise ratio , maximum SNR in a system * Signal to noise ratio , for images * Carrier-to-noise ratio , the signal-to-noise ratio of a modulated signal Noise power Noise figure Noise-equivalent flux density , a measure of noise in astronomy Noise floor Noise margin , by how much a signal exceeds the noise level Reference noise , a reference level for electronic noise Noise spectral density , noise power per unit of bandwidth Noise temperature Effective input noise temperature Noise-equivalent power , a measure of sensitivity for photodetectors Relative intensity noise , in a laser beam Antenna noise temperature , measure of noise in telecommunications antenna Received noise power , noise at a telecommunications receiver Circuit noise level , ratio of circuit noise to some reference level Channel noise level , some measure of noise in a communication channel Noise-equivalent target , intensity of a target when the signal-to-noise level is 1 Equivalent noise resistance , a measure of noise based on equivalent resistor Carrier-to-receiver noise density , ratio of received carrier power to receiver noise Carrier-to-noise-density ratio , Spectral signal-to-noise ratio Antenna gain-to-noise temperature , a measure of antenna performance Contrast-to-noise ratio , a measure of image quality Noise print , statistical signature of ambient noise for its suppression Equivalent pulse code modulation noise , measure of noise by comparing to PCM quantization noiseTechnology for noise in signals Almost every technique and device for signal processing has some connection to noise. Some random examples are:
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